David W. Eyre - RankMe

14 papers A* 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction. CoRR Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W. Eyre, Jingjing Fu
2026	J	`jnl`	SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG. CoRR Fredrik K. Gustafsson, Xiao Gu, Mattia Carletti, Patitapaban Palo, David W. Eyre, David A. Clifton
2025	—	`conf`	RadEval: A framework for radiology text evaluation. EMNLP (System Demonstrations) Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck
2025	A*	`conf`	Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning. EMNLP Justin Xu, Yiming Li, Zizheng Zhang, Augustine Yui Hei Luk, Mayank Jobanputra, Samarth Oza, Ashley Murray, Meghana Reddy Kasula, Andrew Parker, David W. Eyre
2024	J	`jnl`	Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. Mach. Learn. Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton
2023	J	`jnl`	Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning. Nat. Mac. Intell. Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton
2023	J	`jnl`	An adversarial training framework for mitigating algorithmic biases in clinical machine learning. npj Digit. Medicine Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton
2023	J	`jnl`	Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models. IEEE J. Biomed. Health Informatics Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton
2021	J	`jnl`	Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. IEEE J. Biomed. Health Informatics Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2021	J	`jnl`	Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission. PLoS Comput. Biol. David W. Eyre, Mirjam Laager, A. Sarah Walker, Ben S. Cooper, Daniel J. Wilson
2020	A*	`conf`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. ICML Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. CoRR Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2017	J	`jnl`	BugMat and FindNeighbour: command line and server applications for investigating bacterial relatedness. BMC Bioinform. Oriol Mazariegos-Canellas, Trien Do, Tim E. A. Peto, David W. Eyre, Anthony Underwood, Derrick W. Crook, David H. Wyllie
2013	J	`jnl`	Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in PLoS Comput. Biol. David W. Eyre, Madeleine L. Cule, David Griffiths, Derrick W. Crook, Tim E. A. Peto, A. Sarah Walker, Daniel J. Wilson